A comparative study of collaboration-based reputation models for social recommender systems

DSpace/Manakin Repository

Show simple item record

dc.contributor.author McNally, Kevin
dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Smyth, Barry
dc.date.accessioned 2017-04-19T14:59:40Z
dc.date.available 2017-04-19T14:59:40Z
dc.date.copyright 2013 Springer en
dc.date.issued 2014-08
dc.identifier.citation User Modeling and User-Adapted Interaction en
dc.identifier.uri http://hdl.handle.net/10197/8440
dc.description.abstract Today, people increasingly leverage their online social networks to discover meaningful and relevant information, products and services. Thus, the ability to identify reputable online contacts with whom to interact has become ever more important. In this work we describe a generic approach to modeling user and item reputation in social recommender systems. In particular, we show how the various interactions between producers and consumers of content can be used to create so-called collaboration graphs, from which the reputation of users and items can be derived. We analyze the performance of our reputation models in the context of the HeyStaks social search platform, which is designed to complement mainstream search engines by recommending relevant pages to users based on the past experiences of search communities. By incorporating reputation into the existing HeyStaks recommendation framework, we demonstrate that the relevance of HeyStaks recommendations can be significantly improved based on data recorded during a live-user trial of the system. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher Springer en
dc.rights The final publication is available at Springer via http://dx.doi.org/10.1007/s11257-013-9143-6. en
dc.subject Recommender systems en
dc.subject Reputation en
dc.subject Social recommender systems en
dc.subject Collaboration graphs en
dc.title A comparative study of collaboration-based reputation models for social recommender systems en
dc.type Journal Article en
dc.status Peer reviewed en
dc.identifier.volume 24 en
dc.identifier.issue 3 en
dc.identifier.startpage 219 en
dc.identifier.endpage 260 en
dc.identifier.doi 10.1007/s11257-013-9143-6
dc.neeo.contributor McNally|Kevin|aut|
dc.neeo.contributor O'Mahony|Michael P.|aut|
dc.neeo.contributor Smyth|Barry|aut|
dc.date.updated 2016-01-19T15:52:20Z


This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository


Advanced Search

Browse